| 2025 | AISTATS | On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. | Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang |
| 2025 | EMNLP | Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward. | Han Weng, Puzhen Wu, Longjie Cui, Yi Zhan, Boyi Liu, Yuanfeng Song, Dun Zeng, Yingxiang Yang, Qianru Zhang, Dong Huang, Xiaoming Yin, Yang Sun, Xing Chen |
| 2024 | EMNLP | On Diversified Preferences of Large Language Model Alignment. | Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu |
| 2023 | ICDM | Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. | Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao |
| 2023 | IJCNN | Flexible Contribution Estimation Methods for Horizontal Federated Learning. | Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King |
| 2023 | WWW | A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. | Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King |